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Remove extra derivative overloads #800

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Remove extra derivative overloads #800

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342b62a
Remove extra derivative overloads
ChrisRackauckas Jan 20, 2023
b0d8a99
Update src/DiffEqFlux.jl
ChrisRackauckas Jan 20, 2023
d275f57
fix project.toml
ChrisRackauckas Jan 20, 2023
1790189
remove forwarddiff
ChrisRackauckas Jan 20, 2023
b9bc7ab
Merge remote-tracking branch 'origin/derivative_overloads' into deriv…
ChrisRackauckas Jan 20, 2023
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20 changes: 1 addition & 19 deletions src/DiffEqFlux.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ using Adapt, Base.Iterators, ConsoleProgressMonitor, DataInterpolations,
DiffEqBase, Distributions, DistributionsAD,
ForwardDiff, LinearAlgebra, Lux,
Logging, LoggingExtras, Printf, ProgressLogging, Random, RecursiveArrayTools,
Reexport, SciMLBase, TerminalLoggers, Zygote, ZygoteRules
Reexport, SciMLBase, TerminalLoggers

@reexport using SciMLSensitivity
@reexport using Flux
Expand All @@ -14,24 +14,6 @@ import ChainRulesCore

gpu_or_cpu(x) = Array

# ForwardDiff integration

ZygoteRules.@adjoint function ForwardDiff.Dual{T}(x, ẋ::Tuple) where {T}
@assert length(ẋ) == 1
ForwardDiff.Dual{T}(x, ẋ), ḋ -> (ḋ.partials[1], (ḋ.value,))
end

ZygoteRules.@adjoint ZygoteRules.literal_getproperty(d::ForwardDiff.Dual{T}, ::Val{:partials}) where {T} =
d.partials, ṗ -> (ForwardDiff.Dual{T}(ṗ[1], 0),)

ZygoteRules.@adjoint ZygoteRules.literal_getproperty(d::ForwardDiff.Dual{T}, ::Val{:value}) where {T} =
d.value, ẋ -> (ForwardDiff.Dual{T}(0, ẋ),)

ZygoteRules.@adjoint ZygoteRules.literal_getproperty(A::Tridiagonal, ::Val{:dl}) = A.dl, y -> Tridiagonal(dl, zeros(length(d)), zeros(length(du)),)
ZygoteRules.@adjoint ZygoteRules.literal_getproperty(A::Tridiagonal, ::Val{:d}) = A.d, y -> Tridiagonal(zeros(length(dl)), d, zeros(length(du)),)
ZygoteRules.@adjoint ZygoteRules.literal_getproperty(A::Tridiagonal, ::Val{:du}) = A.dl, y -> Tridiagonal(zeros(length(dl)), zeros(length(d), du),)
ZygoteRules.@adjoint Tridiagonal(dl, d, du) = Tridiagonal(dl, d, du), p̄ -> (diag(p̄[2:end, 1:end-1]), diag(p̄), diag(p̄[1:end-1, 2:end]))

include("ffjord.jl")
include("neural_de.jl")
include("spline_layer.jl")
Expand Down